gpt-oss-20b by deepinfra - AI Model Details, Pricing, and Performance Metrics
gpt-oss-20b
completionsgpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI’s Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI’s Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.
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Statistics
Category Scores
Benchmark Tests
| Metric | HLE | GPQA | MMLU | SciCode | MMLU-Pro | LiveCodeBench | AA Math Index | AA Coding Index | AAII |
|---|---|---|---|---|---|---|---|---|---|
| Score | 9.8 | 70.2 | 85.3 | 34.4 | 74.8 | 77.7 | 89.3 | 40.7 | 52.4 |
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